Update MLC commands to support downloads through R2 for PointPainting (#2367)

Author: anandhu-eng

automotive/3d-object-detection/README.md

@@ -18,16 +18,23 @@ You can also do `pip install mlc-scripts` and then use `mlcr` commands for downl
 > By default, the waymo dataset is downloaded from the mlcommons official drive. One has to accept the [MLCommons Waymo Open Dataset EULA](https://waymo.mlcommons.org/) to access the dataset files.
 
 ```
-mlcr get,ml-model,pointpainting --outdirname=<path_to_download> -j
+mlcr get,ml-model,pointpainting,_r2-downloader,_mlc --outdirname=<path_to_download> -j
 ```
 
 ### Download dataset through MLCFlow Automation
 
 > [!Note]
 > By default, the waymo dataset is downloaded from the mlcommons official drive. One has to accept the [MLCommons Waymo Open Dataset EULA](https://waymo.mlcommons.org/) to access the dataset files.
 
+**Includes validation and calibration dataset**
 ```
-mlcr get,dataset,waymo --outdirname=<path_to_download> -j
+mlcr get,dataset,waymo,_r2-downloader,_mlc --outdirname=<path_to_download> -j
+```
+
+**Includes only calibration dataset**
+
+```
+mlcr get,dataset,waymo,calibration,_r2-downloader,_mlc --outdirname=<path_to_download> -j
 ```
 
 ## Downloading the dataset and model checkpoints
@@ -106,4 +113,4 @@ python accuracy_waymo.py --mlperf-accuracy-file <path to accuracy file>/mlperf_l
 
 ## Automated command for submission generation via MLCFlow
 
-Please see the [new docs site](https://docs.mlcommons.org/inference/submission/) for an automated way to generate submission through MLCFlow. 
+Please see the [new docs site](https://docs.mlcommons.org/inference/submission/) for an automated way to generate submission through MLCFlow.